class_docstr: HyperPreprocessor without Hyperparameters to tune.
  
  It would always return the same preprocessor. No hyperparameters to be
  tuned.
  
  # Arguments
      preprocessor: The Preprocessor to return when calling build.
code: def from_config(cls, config):
      config["preprocessor"] = preprocessors.deserialize(
          config["preprocessor"]
      )
      return super().from_config(config)
  
file_path: autokeras/autokeras/hyper_preprocessors.py
imports: from autokeras import preprocessors
  from autokeras.engine import hyper_preprocessor
  from autokeras.utils import utils
label_desc: Use image node_id 4 for calling the DefaultHyperPreprocessor obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: super